Digital Commons Network^™

An Ai For A Modification Of Dou Di Zhu, Xuesong Luo

Master's Projects

We describe our implementation of AIs for the Chinese game Dou Di Zhu. Dou Di Zhu is a three-player game played with a standard 52 card deck together with two jokers. One player acts as a landlord and has the advantage of receiving three extra cards, the other two players play as peasants. We designed and implemented a Deep Q-learning Neural Network (DQN) agent to play the Dou Di Zhu. At the same time, we also designed and made a pure Q-learning based agent as well as a Zhou rule-based agent to compare with our main agent. We show the …

Rehearsal Scheduling Problem, Thuan Bao

Master's Projects

Scheduling is a common task that plays a crucial role in many industries such as manufacturing or servicing. In a competitive environment, effective scheduling is one of the key factors to reduce cost and increase productivity. Therefore, scheduling problems have been studied by many researchers over the past thirty years. Rehearsal scheduling problem (RSP) is similar to the popular resource-constrained project scheduling problem (RCPSP); however, it does not have activity precedence constraints and the resources’ availabilities are not fixed during processing time. RSP can be used to schedule rehearsal in theatre industry or to schedule group scheduling when each member …

Housing Market Crash Prediction Using Machine Learning And Historical Data, Parnika De

Master's Projects

The 2008 housing crisis was caused by faulty banking policies and the use of credit derivatives of mortgages for investment purposes. In this project, we look into datasets that are the markers to a typical housing crisis. Using those data sets we build three machine learning techniques which are, Linear regression, Hidden Markov Model, and Long Short-Term Memory. After building the model we did a comparative study to show the prediction done by each model. The linear regression model did not predict a housing crisis, instead, it showed that house prices would be rising steadily and the R-squared score of …

Computational Astronomy: Classification Of Celestial Spectra Using Machine Learning Techniques, Gayatri Milind Hungund

Master's Projects

Lightyears beyond the Planet Earth there exist plenty of unknown and unexplored stars and Galaxies that need to be studied in order to support the Big Bang Theory and also make important astronomical discoveries in quest of knowing the unknown. Sophisticated devices and high-power computational resources are now deployed to make a positive effort towards data gathering and analysis. These devices produce massive amount of data from the astronomical surveys and the data is usually in terabytes or petabytes. It is exhaustive to process this data and determine the findings in short period of time. Many details can be missed …

Using Deep Learning And Linguistic Analysis To Predict Fake News Within Text, John Nguyen

Master's Projects

The spread of information about current events is a way for everybody in the world to learn and understand what is happening in the world. In essence, the news is an important and powerful tool that could be used by various groups of people to spread awareness and facts for the good of mankind. However, as information becomes easily and readily available for public access, the rise of deceptive news becomes an increasing concern. The reason is due to the fact that it will cause people to be misled and thus could affect the livelihood of themselves or others. The …

Yoga Pose Classification Using Deep Learning, Shruti Kothari

Master's Projects

Human pose estimation is a deep-rooted problem in computer vision that has exposed many challenges in the past. Analyzing human activities is beneficial in many fields like video- surveillance, biometrics, assisted living, at-home health monitoring etc. With our fast-paced lives these days, people usually prefer exercising at home but feel the need of an instructor to evaluate their exercise form. As these resources are not always available, human pose recognition can be used to build a self-instruction exercise system that allows people to learn and practice exercises correctly by themselves. This project lays the foundation for building such a system …

Sentiment Analysis For Troll Activity Detection On Sina Weibo, Zidong Jiang

Master's Projects

The impact of social media on the modern world is difficult to overstate. Virtually all companies and public figures have social media accounts on popular platforms such as Twitter and Facebook. In China, the micro-blogging service provider Sina Weibo is the most popular such service. To overcome negative publicity, Weibo trolls the so called Water Army can be hired to post deceptive comments.

In recent years, troll detection and sentiment analysis have been studied, but we are not aware of any research that considers troll detection based on sentiment analysis. In this research, we focus on troll detection via sentiment …

A Code Reputation System Using Ai And Blockchain Technology, Jeremy Chau

Master's Theses

Open source development is a method of development in which source code is developed using the combined skills of the public. A few examples of this sort of development would be the Chromium and Linux kernel projects hosted on GitHub. Open source development offers a wide variety of benefits and disadvantages. A main concern is when many people blindly trust developers without second thought. There is a lack of a rating system that judges those who develop code through open source means. This can call into question the quality of the code being written by the individual as well as …

Understory Response To Restorative Thinning In Coast Redwood Forests, Alyssa Hanover

Master's Theses

Restoration of late seral features in second-growth Sequoia sempervirens forests is an important management concern, as so little of the original old-growth remains. The abundance of herbaceous species provides a metric for assessing recovery in these forests where associated understory plants are adapted to closed canopy conditions. Data were collected using a stratified random sampling design across three treatments: mechanically thinned second-growth, un-thinned second-growth, and old-growth reference stands. Pairwise PerMANOVA indicated greater abundance and diversity of native herbs in old-growth and un-thinned second-growth compared to thinned stands, as well as higher measures of canopy cover, basal area, and dominance of …

The Moderating Effects Of Gender And Occupation On Age Discrimination In Hiring, Rachel Su Windsor

Master's Theses

Over the years, ageism in the workplace has become an important topic. However, it remains unclear whether and how gender and occupation relate to age discrimination in hiring decisions. The current study addresses this issue by investigating job suitability ratings and selection decisions by comparing two hypothetical job applicants who differ in age (younger vs. older) and gender (male vs. female) for two occupations (software engineer vs. nurse) in two industries (high-tech and healthcare). This study employed a 2 x 2 x 2 incomplete mixed-factorial design, in which age was a within-subjects factor, and gender and occupation were between-subjects factors. …

Methods For Sensitive Detection Of Magneto Optic Kerr Effect, James Creed

Master's Theses

The focus of this project is to numerically model the phenomenon known as the Magneto Optic Kerr Effect, MOKE, where the interaction between light and surface in the presence of a magnetic field, results in a rotation of the polarization axis of the reflected light, and to develop a method by which to experimentally measure the strength of the interaction. The amount of polarization rotation is proportional to the strength of the magnetic field and changes in polarization can be detected using polarizing optics. This thesis project successfully develops a numerical model for MOKE and an experimental method is outlined …

An Examination Of Garden-Based Education Impacts On Title 1 Elementary School Students’ Environmental Literacy In San José, California, Alexandra Dahl

Master's Theses

The objective of this research was to assess garden-based pedagogy as an effective strategy to increase environmental literacy in elementary-aged students. With severe environmental issues facing children today and into the future, environmental literacy is a desired outcome of environmental education programs. Such interventions create environmentally responsible citizens who understand how humans impact the natural environment and thereby act sustainably. Currently, little research exists on garden education’s influence on students’ environmental literacy, especially in underrepresented communities. Using a nonequivalent control group study design, this project investigated the impact of a garden education program in Central San José, CA in an …

Noise Pollution, Environmental Justice, And Urban Green Space Accessibility: A Case Study In San José, California, Lauryn Duoto

Master's Theses

Noise pollution is an environmental stressor associated with a number of poor health outcomes. Promisingly, recent studies have identified urban green spaces such as public parks and community gardens as-built environments that can minimize noise pollution in the urban context. The objective of this project was to identify low-income communities of color that lack urban green space accessibility within the city of San José, California, to determine if sound level could be an indicator of urban green space usage and to evaluate whether urban green space can mitigate noise. Neighborhood demographics based on census tract data, including ethnicity and socioeconomic …

Auto-Landing System For Fixed-Wing Unmanned Aerial Vehicle, Dan Dermer

Master's Theses

Unmanned aerial vehicle systems, or any kind or autonomous system, are relevant to many applications today. However, they are complex and sophisticated systems that require a deep understanding of multiple technologies. In addition, the mathematical rigor, computer modelling, and programming applications involved make t¬his a challenging field of study. This thesis explores the possibility of achieving the automated landing of a fixed-wing unmanned aerial vehicle. Auto-landing systems can resolve the challenges for the novice user and make aerial vehicle platforms accessible and dependable. A wide spectrum of applications such as agriculture, aerial photography, and security, to name a few, can …

The Mediating Role Of Work Engagement On The Relationship Between Perceived Supervisor Support And Turnover Intention, Addison Yeosock

Master's Theses

The purpose of the current study was to examine the mediating role of work engagement on the relationship between perceived supervisor support and turnover intention using the Jobs Demands-Resources (JD-R) model and the motivational processes of engagement as the theoretical framework. A total of 954 employees of a healthcare organization participated in an online survey. Results showed that work engagement partially mediated the relationship between perceived supervisor support and turnover intention. Perceived supervisor support was negatively related to turnover intention directly and indirectly through work engagement. Based on these findings, organizations should focus on strategies of increasing the job resource …

Examining The Effects Of A Peer-Mediated Social Skills Intervention On The Prosocial Behaviors Of Elementary Students With Emotional And Behavioral Disorders, Prabhjot Singh

Dissertations

Students with Emotional and Behavioral Disorders represent part of the population of students who receive special education services, and the social skill deficits that they present makes it so that they are less likely to pass their classes and more likely to drop out of school than their typical peers. The social skill deficits of these students often lead to a variety of negative factors including poor relationships and academic achievement. The purpose of this study was to examine the effects of a peer-mediated social skills intervention on fourth and fifth grade students in a public-school setting. The current study …

All Things Come To Pass, Brandon Luu

Master's Theses

All Things Come to Pass is a poetry collection consisting of 36 poems that revolve around the themes of impermanence, death, and memory. It is divided into three sections: Crisis, Melancholy, and Acceptance, inspired by the five stages of grief by Elisabeth Kübler-Ross. The poems are written primarily in free-verse and include genres such as elegy, pastoral, and narrative. The collection contemplates whether given the finite nature of life, in an existence where nothing lasts forever and everything seems ultimately inconsequential, what is it that should be considered important?

The Baroque In Games: A Case Study Of Remediation, Stephanie Elaine Thornton

Master's Theses

This thesis presents a case study for the remediation of baroque painting by some contemporary video games. Video games such as Horizon Zero Dawn borrow illusionistic techniques, the motif of the labyrinth, and the use of the total work of art as presented in certain baroque paintings. These characteristics are modified and represented within the new medium in an effort to heighten immediacy and create an immersive experience for the audience. This thesis discusses the process of remediation in detail and then analyzes how video games—and Horizon Zero Dawn in particular—remediate illusionistic techniques like linear and atmospheric perspective. Then, the …

Life Between The Bridges: A Personal History Of San Francisco, Eli Hansen

Master's Theses

Life Between the Bridges: A Personal History of San Francisco is a hybrid work of history, memoir, and travel writing in which I seek to examine the city of San Francisco through a variety of lenses. The prologue provides an overview of experiences a newcomer to San Francisco might expect. The first chapter examines the current state of the city and addresses the pressing issue of high housing costs. This chapter also introduces the theme of optimism, a unifying concept throughout my thesis. I then provide a brief biography of my childhood and outline the events that led me to …

Plurality Of Traditions And Metatheories In Information Science, Taufik Asmiyanto, Muhamad Prabu Wibowo

Library Philosophy and Practice (e-journal)

Information science presupposes multi traditions because of its close relationship to the convergence of several fields of science that saw epistemic and practical needs and demands due to the phenomenon of the information revolution and information and communication technology (ICT). The multi traditions in information science are relevant to explain limitless study objects in information science in understanding reality and ways of gaining knowledge throughout the development of science. A previous study on ontology and epistemology shows that there is a limitation on human reasoning on the understanding reality that affects further development of science. The plurality of traditions enables …

Comparison Of Word2vec With Hash2vec For Machine Translation, Neha Gaikwad

Master's Projects

Machine Translation is the study of computer translation of a text written in one human language into text in a different language. Within this field, a word embedding is a mapping from terms in a language into small dimensional vectors which can be processed using mathematical operations. Two traditional word embedding approaches are word2vec, which uses a Neural Network, and hash2vec, which is based on a simpler hashing algorithm. In this project, we have explored the relative suitability of each approach to sequence to sequence text translation using a Recurrent Neural Network (RNN). We also carried out experiments to test …

Improved Chinese Language Processing For An Open Source Search Engine, Xianghong Sun

Master's Projects

Natural Language Processing (NLP) is the process of computers analyzing on human languages. There are also many areas in NLP. Some of the areas include speech recognition, natural language understanding, and natural language generation.

Information retrieval and natural language processing for Asians languages has its own unique set of challenges not present for Indo-European languages. Some of these are text segmentation, named entity recognition in unsegmented text, and part of speech tagging. In this report, we describe our implementation of and experiments with improving the Chinese language processing sub-component of an open source search engine, Yioop. In particular, we rewrote …

Virtual Robot Locomotion On Variable Terrain With Adversarial Reinforcement Learning, Phong Nguyen

Master's Projects

Reinforcement Learning (RL) is a machine learning technique where an agent learns to perform a complex action by going through a repeated process of trial and error to maximize a well-defined reward function. This form of learning has found applications in robot locomotion where it has been used to teach robots to traverse complex terrain. While RL algorithms may work well in training robot locomotion, they tend to not generalize well when the agent is brought into an environment that it has never encountered before. Possible solutions from the literature include training a destabilizing adversary alongside the locomotive learning agent. …

Real-Time Ad Click Fraud Detection, Apoorva Srivastava

Master's Projects

With the increase in Internet usage, it is now considered a very important platform for advertising and marketing. Digital marketing has become very important to the economy: some of the major Internet services available publicly to users are free, thanks to digital advertising. It has also allowed the publisher ecosystem to flourish, ensuring significant monetary incentives for creating quality public content, helping to usher in the information age. Digital advertising, however, comes with its own set of challenges. One of the biggest challenges is ad fraud. There is a proliferation of malicious parties and software seeking to undermine the ecosystem …

Using Color Thresholding And Contouring To Understand Coral Reef Biodiversity, Scott Vuong Tran

Master's Projects

This paper presents research outcomes of understanding coral reef biodiversity through the usage of various computer vision applications and techniques. It aims to help further analyze and understand the coral reef biodiversity through the usage of color thresholding and contouring onto images of the ARMS plates to extract groups of microorganisms based on color. The results are comparable to the manual markup tool developed to do the same tasks and shows that the manual process can be sped up using computer vision. The paper presents an automated way to extract groups of microorganisms based on color without the use of …

Co-Authorship Visualization Of Research On Covid-19 From Web Of Science Data Using Bibliometric Analysis, Akbar Iskandar, Firman Azis, Riskha Dora Candra Dewi, R. Rusli, Ansari Saleh Ahmar

Library Philosophy and Practice (e-journal)

Bibliometric analysis is one of the research approaches that utilizes quantitative and mathematical data to address problems posed in the context of visualization to see patterns in the field of science. In fact, bibliometric analysis may also include a wider overview of the names of the most influential writers in the area of science. This data analysis would discuss the co-authorship of COVID-19 research covering author productivity and author collaboration. The data was collected on 11th May 2020 of Web of Science (WoS) Core Collection database. The literature review was conducted using the keyword: TOPIC: ("covid") AND YEAR PUBLISHED: (2020). …

Land Registry On Blockchain, Mugdha Patil

Master's Projects

The commercial real estate market is a significant part of the global economy, currently dominated by a small set of firms and organizations that lack transparency. The process of property transfers also requires third party intervention which is expensive. In many countries, the process of title transfers is problematic. We are still in the initial steps of digitization, due to the improvement required in terms of use of technology to represent assets in digital forms. Increase in liquidity of investments and purchases, proper management, documentation as well as ease of access is the future of real estate. Blockchain technologies have …

On The Stellar Kinematics And Mass Of The Virgo Ultradiffuse Galaxy Vcc 1287, Jonah S. Gannon, Duncan A. Forbes, Aaron J. Romanowsky, Anna Ferré-Mateu, Warrick J. Couch, Jean P. Brodie

Faculty Research, Scholarly, and Creative Activity

Here, we present a kinematical analysis of the Virgo cluster ultradiffuse galaxy (UDG) VCC 1287 based on data taken with the Keck Cosmic Web Imager (KCWI). We confirm VCC 1287's association both with the Virgo cluster and its globular cluster (GC) system, measuring a recessional velocity of 1116 ± 2 km s-1. We measure a stellar velocity dispersion (19 ± 6 km s-1) and infer both a dynamical mass ($1.11^{+0.81}_{-0.81} \times 10^{9} \ \mathrm{M_{\odot }}$) and mass-To-light ratio (M/L) ($13^{+11}_{-11}$) within the half-light radius (4.4 kpc). This places VCC 1287 slightly above the well-established relation for normal galaxies, with a …

Growth Of Herpes Research In The 21st Century: A Scientometric Analysis, Sivankalai S

Library Philosophy and Practice (e-journal)

The virus coined in chimpanzees, flying interested in humans a few million years back. Around two-thirds of the human people are diseased through on minimum single herpes simplex virus. Now this research, we aimed to make a complete scientometric analysis of herpes collected works. We collected data by using four databases provided by Web of Science using the keywords “Herpes”. The study is informative in categorizing and sympathetic trends, including core study areas, author, type of documents, journals, institutions, and countries, and just how these are related, within the existing body of collected works on herpes. A total of 8012 …

Agricultural Information Sources, Channels And Strategies For Sharing Agricultural Research Findings Among Farmers In Iringa District In Tanzania, Christian Mubofu, Andrew Watson Malekani Awm

Library Philosophy and Practice (e-journal)

The aim of this research was to investigate the agricultural information sources and strategies for disseminating agricultural research findings to farmers in Iringa District, Tanzania. A total of 90 farmers were interviewed by using self-administered questionnaire. The statistical Package for Service Solutions (SPSS) software and Spreadsheet were used as instruments to analyse the findings. Results of this study indicate that radios, church leaders, village leaders and seminars are the main channels of information used by extension officers to disseminate agricultural information to farmers. With regard to strategies the study revealed that, the use of religious leaders and government officials; use …